When choosing an AI tracking tool, it is not which platform is best, but how many times each prompt is run per measurement cycle. AI output is probabilistic, so a platform tracking 200 prompts at one run each produces less reliable data than one tracking 50 prompts at multiple runs.
This article describes the main platforms neutrally, along with the four questions worth answering before comparing feature tables.
Key Takeaways
- Runs per prompt matter more than number of prompts. Evertune samples each prompt 100 times per model to reach statistical significance.
- Most tools measure frequency and sentiment, not whether the substance of a mention is accurate. This is a gap across the whole category.
- For Vietnamese brands, multilingual tracking cost is the variable with the largest effect on total spend, and platforms handle it very differently.
- If your scope is under 30 prompts and you have never measured a baseline, a manual spreadsheet is still the more sensible first step.
Four Questions Before Comparing Features
Feature tables across these platforms look broadly similar. The four questions below separate them in ways that matter in practice.
1. How many runs per prompt per cycle?
This is the most important question and the least likely to appear on a pricing page.
AI output is probabilistic: the same prompt asked twice can produce two different answers with different brand lists. A platform that runs each prompt once and reports the result as stable data is selling you noise.
Evertune publishes a methodology of sampling each prompt 100 times per model for exactly this reason. Not every platform needs to go that far, but the number should be stated.
How to ask: “How many runs per prompt per cycle, and does that number change by plan?”
2. How many prompts do you need, and in which languages?
Many platforms cap prompt counts by plan. Peec AI, for instance, caps at 100 prompts and 9,000 AI answers per month on its published plan.
That number has to be multiplied by the languages and engines you track. A Vietnamese brand tracking 20 Vietnamese prompts and 10 English prompts across three engines needs very different capacity from what “30 prompts” suggests on paper.
3. Does the tool measure frequency, or substance too?
Most platforms measure: are you mentioned, in what position, how you compare to competitors, and whether sentiment is positive or negative.
What no platform solves well yet: whether the substance of the mention is correct. Sentiment does not substitute for accuracy. An answer that describes your service incorrectly in a positive tone still registers as good sentiment.
This is why manually reading a sample of answers remains necessary even with a tool in place. Detail on this problem is in why businesses should hire an AEO and AI reputation service.
4. Can you export the data?
If you want to join AI visibility data with GA4, or analyse it your own way, raw export or API access is a requirement. Some platforms only let you view inside their dashboard.
The Three AI Tracking Tools
The descriptions below are based on each platform’s public information at time of writing. Order carries no ranking meaning.
Peec AI
An AI search analytics platform with daily tracking, sentiment analysis, prompt tagging by topic, and competitor gap analysis.
Notable: unlimited countries and languages within the plan, plus unlimited user seats. For a brand needing to track both Vietnamese and English, that is a cost difference rather than just a feature difference.
Limit to know: the published plan caps at 100 prompts and 9,000 AI answers per month.
Beyond the product: the team publishes open quantitative research, including an analysis of 10 million prompts and 20 million fan-out queries on ChatGPT’s language behaviour.
Profound
Positioned at the enterprise tier, tracking across multiple engines with detailed source analysis, including identifying which sources competitors are cited from where you are absent.
Notable: source gap analysis is the most frequently cited feature, because it answers the more actionable question. Not “where do I stand” but “where do I need to be present”.
Limit to know: there is a low entry plan, but full capability sits at enterprise pricing, better suited to organisations with larger budgets.
Beyond the product: publishes large-scale research, including an analysis of 3.25 billion citations across 7 models and 14 countries on the effect of query language.
Ahrefs Brand Radar
Integrates AI mention tracking into the Ahrefs ecosystem, suited to teams already using Ahrefs for traditional SEO.
Notable: covers six AI engines including ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews and Google AI Mode, plus data from YouTube, TikTok and Reddit. It is also the strongest for large-scale research thanks to its existing prompt dataset.
Limit to know: no sentiment analysis. If you need to track the tone of mentions rather than just frequency, that is a gap.
Beyond the product: Ahrefs publishes research across 863,000 keywords and 4 million URLs on the overlap between AI Overview citations and organic results.
Compare 3 AI Tracking Tools
| Peec AI | Profound | Ahrefs Brand Radar | |
|---|---|---|---|
| Sentiment analysis | Yes | Yes | No |
| Languages and countries | Unlimited in plan | By plan | By plan |
| Source gap analysis | Yes | Core strength | Yes |
| Engine coverage | Major engines | Major engines | Six engines, plus YouTube, TikTok, Reddit |
| SEO data integration | No | No | Yes, within the Ahrefs ecosystem |
| Best suited to | Multilingual brands, small to mid teams | Larger organisations needing deep source analysis | Teams already on Ahrefs, large-scale research needs |
| Published entry price | About EUR 199 per month (Pro plan) | About USD 99 per month (entry plan) | About USD 129 per month |
Note on pricing: the figures above are publicly published levels at time of writing in mid-2026. Pricing and plan structure in this category change frequently, so verify directly at the point of purchase.
Other Options Worth Knowing
These three platforms are not the whole market. The three options below fit different needs.
Evertune is notable more for methodology than features. It samples each prompt 100 times per model for statistical significance, and separately measures two things: what the model already knows from training, and what it just retrieved in real time. That distinction is valuable because the two respond to different kinds of effort.
Scrunch AI operates on a credit-based model, suited to irregular or campaign-based tracking needs.
Otterly is a lighter option, suited to smaller teams and limited tracking scope.
One thing worth noting about the whole category: this is a young, fast-moving product category. The feature leader this year may not lead in six months, and the same applies to pricing. Do not tie your measurement process too tightly to any one platform.
What Matters Specifically for the Vietnamese Market
For Vietnamese brands, the variable with the largest effect on total cost is usually not prompt count but how the platform charges for multilingual tracking.
The reason is that Vietnamese brands typically need both languages, and not out of ambition. The two main engines handle language in opposite ways: Google AI Overview favours sources matching the query language, while ChatGPT may translate the query into English at the retrieval stage. Detail in how Vietnamese brands get cited for industry queries.
The consequence: a Vietnamese prompt set gives you the AI Overview picture, an English prompt set gives you the ChatGPT picture. Skipping either leaves half the map blank.
If the platform charges per language or per country, cost roughly doubles. If it includes unlimited, cost does not change. This is worth clarifying before signing rather than discovering after three months.
Three questions to put to a vendor
- Does adding a language cost extra?
- Is the prompt cap counted in total or per language?
- Does the platform handle Vietnamese queries well, or does it merely run them with lower analysis quality?
The third is the most worth asking and the least often asked. A platform can support Vietnamese technically while its sentiment analysis or topic classification performs noticeably worse than in English. The way to check is to request a trial run on your own Vietnamese prompt set before buying.
When You Do Not Need a Tool Yet
If you have never measured a baseline, buying a tool first is doing it in the wrong order.
A manual spreadsheet is still sufficient when:
- Scope is under 30 prompts
- One language
- Two or three engines
- You accept a two-week measurement cadence
How: 15 to 25 prompts written exactly as customers would ask, each run 3 to 5 times on ChatGPT and Google, recording the proportion of runs where your brand appeared and which sources were cited. The full process is in how to measure your brand in AI search.
Why do it manually first, even with budget available
Four to eight weeks of manual work teaches three things a dashboard does not: which prompts genuinely matter in your sector, how much results vary between runs, and whether the substance of your mentions has problems.
With those three insights you know which features you actually need, and you avoid paying for capabilities that sound good but go unused.
When to move to a tool
- Scope exceeds 30 prompts or more than two languages
- You need continuous rather than periodic tracking
- You need historical data for leadership reporting
- Manual time cost exceeds the subscription cost
FAQ
Which tools track a brand across ChatGPT and Gemini in Vietnam?
Peec AI, Profound and Ahrefs Brand Radar all track ChatGPT, Gemini and Google AI Overviews. For the Vietnamese market, the most important criterion is the cost of tracking in Vietnamese, since some platforms charge extra per language and others do not.
What criteria should drive the choice?
Four questions before comparing features: how many prompts and in which languages, how many runs per prompt per cycle, whether the tool measures substance or only frequency, and whether data can be exported.
How much do these tools cost?
Per publicly published figures in mid-2026, Ahrefs Brand Radar starts around USD 129 per month, Profound has an entry plan around USD 99 per month, and Peec AI’s Pro plan is around EUR 199 per month. Pricing changes frequently, so verify at purchase.
Do runs per prompt matter?
Considerably, and it is often overlooked. AI output is probabilistic, so a tool running each prompt once produces noisy data. When comparing quotes, normalise to the same run count rather than comparing prompt counts alone.
Can these tools tell me whether AI is saying something wrong about my brand?
Most measure frequency and sentiment, not accuracy. Sentiment tells you tone, not whether the information is correct. Assessing accuracy still requires reading individual answers.
Should I run multiple tools at once?
For most businesses, no. Platforms use different prompt sets and methods, so their numbers are not directly comparable. Choose one, freeze the method, and keep it long enough to see a trend.
Data Sources
- How Evertune Measures AI Visibility: Methodology. Evertune. https://www.evertune.ai/platform/methodology
- Peec AI vs Ahrefs Brand Radar: An Objective Comparison. Peec AI. https://peec.ai/comparison/peec-ai-vs-ahrefs-brand-radar
- Best AI Visibility Tools 2026: Profound vs Peec vs Otterly vs the Rest. Surmado. https://www.surmado.com/blog/best-ai-visibility-tools-2026
- Peec AI vs Ahrefs Brand Radar (2026): AI Visibility Tracking Comparison. Zerply. https://zerply.ai/compare/peec-vs-ahrefs/
- 14 Peec AI Alternatives for AI Search Visibility Tracking (2026). https://blog.timsoulo.com/14-peec-ai-alternatives-for-ai-search-visibility-tracking-2026/
Written by Abbie, AEO Expert at Brandgineer | Optimised for AI visibility across ChatGPT, Google AI Overviews, and Perplexity.
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Read next: How to measure AI visibility | Why hire an AEO and AI reputation service
